def submit(self):
type_errors = (
self.update_types()
) # Convert the types of 'from' and 'to', returning None if successful
if self.data_name is not None and self.data_name in [
d.name for d in self.appctx.datasets
]:
warnings.show_warning(
"Dataset already exists",
f"A dataset named '{self.data_name}' already exists.\n"
f"Use a different name or clear the dataset name field.",
)
elif type_errors is not None:
warnings.show_critical("Error", type_errors)
else:
# Run with a progress dialog
if self.data_name is None:
slot = self.appctx.update_data
else:
slot = self.appctx.add_dataset
RunProgress.run_with_progress(
progress_str="Recoding variables...",
function=self.get_func(),
slot=slot,
parent=self,
)
self.log_command()
self.accept()
def submit(self):
if self.data_name is None:
self.data_name = self.le_data_name.placeholderText()
if self.data_name is not None and self.data_name in [
d.name for d in self.appctx.datasets
]:
warnings.show_warning(
"Dataset already exists",
f"A dataset named '{self.data_name}' already exists.\n"
f"Use a different name.",
)
elif (
self.top_idx is None
or self.bottom_idx is None
or self.top_idx == self.bottom_idx
):
warnings.show_warning(
"Select Two Datasets", "Two different datasets must be selected."
)
else:
RunProgress.run_with_progress(
progress_str="Merging Data...",
function=self.get_func(),
slot=self.appctx.add_dataset,
parent=self,
)
self.log_command()
self.accept()
def submit(self):
print(f"categorize with {self.cat_min}, {self.cat_max}, {self.cont_min}")
if self.cat_min > self.cat_max:
warnings.show_warning(
"Parameter Error",
f"'Categorical Minimum' must be <= 'Categorical Maximum'",
)
elif self.cat_min > self.cont_min:
warnings.show_warning(
"Parameter Error",
f"'Categorical Minimum' must be < 'Continuous Minimum'",
)
elif self.cat_max >= self.cont_min:
warnings.show_warning(
"Parameter Error",
f"'Categorical Maximum' must be < 'Continuous Minimum'",
)
else:
# Run with a progress dialog
RunProgress.run_with_progress(
progress_str="Categorizing variables...",
function=self.get_func(),
slot=self.appctx.update_data,
parent=self,
)
self.log_command()
self.accept()
def submit(self):
if len(self.filename) == 0:
self.reject()
return
datafile = Path(self.filename)
if not datafile.exists():
warnings.show_warning(
title="File Not Found",
text=f"The file could not be found:\n'{str(datafile)}''",
)
elif not datafile.is_file():
warnings.show_warning(
title="Not a File",
text=
f"A folder was given instead of a file:\n'{str(datafile)}''",
)
elif self.data_name in [d.name for d in self.appctx.datasets]:
warnings.show_warning(
title="Dataset already exists",
text=
f"A dataset named '{self.data_name}' already exists. Use a different name.",
)
else:
RunProgress.run_with_progress(
progress_str=f"Loading {self.kind} file...",
function=self.get_func(),
slot=self.appctx.add_dataset,
parent=self,
)
self.log_command()
self.accept()
def submit(self):
if self.data_name is not None and self.data_name in [
d.name for d in self.appctx.datasets
]:
warnings.show_warning(
"Dataset already exists",
f"A dataset named '{self.data_name}' already exists.\n"
f"Use a different name or clear the dataset name field.",
)
else:
# Run with a progress dialog
if self.data_name is None:
slot = self.appctx.update_data
else:
slot = self.appctx.add_dataset
RunProgress.run_with_progress(
progress_str="Filtering variables...",
function=self.get_func(),
slot=slot,
parent=self,
)
self.accept()